TexasScholarWorks
    • Login
    • Submit
    View Item 
    •   Repository Home
    • UT Electronic Theses and Dissertations
    • UT Electronic Theses and Dissertations
    • View Item
    • Repository Home
    • UT Electronic Theses and Dissertations
    • UT Electronic Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Travel demand forecasting models : development, application, and comparison of aggregate and activity-based approaches for the Austin, Texas Region

    View/Open
    Access restricted to UT Austin EID holders (1.399Mb)
    Date
    2007-08
    Author
    Lemp, Jason David
    Share
     Facebook
     Twitter
     LinkedIn
    Metadata
    Show full item record
    Abstract
    A great disparity exists between the direction of travel demand forecasting by researchers, and the travel demand models used by transportation planning organizations. Activity-based models of travel demand have become increasingly studied in the academic realm and vast developments have been made over the past many years. However, travel demand forecasting tools used in practice by transportation planning organizations, and the like, have lagged behind, relying on the tried and true traditional, aggregate 4-step approach to travel demand modeling. Many reasons for such a paradox are possible, but one cause is that there is little work that directly relates these two approaches from a model performance perspective. The aim of this research is provide just such a comparison. A traditional, aggregate model and an activity-based microsimulation model of travel demand are developed in parallel using the same data for Austin, Texas. The models are applied for both a base scenario and several policy scenarios to test model performance and sensitivity to inputs. Aggregate outputs indicate that there are many key differences between the ways these two models perform, and some evidence suggests that the activity-based model may boast a greater sensitivity to inputs. Additional outputs are produced to demonstrate the level of segmentation that can be attained in the generated outputs using microsimulation methods. The analysis performed in this research serves as a comparison of these two competing approaches to travel demand forecasting and offers some insight into the benefits of the activity-based approach from a practical standpoint.
    Department
    Civil, Architectural, and Environmental Engineering
    Subject
    Transportation
    URI
    http://hdl.handle.net/2152/46567
    Collections
    • UT Electronic Theses and Dissertations

    University of Texas at Austin Libraries
    • facebook
    • twitter
    • instagram
    • youtube
    • CONTACT US
    • MAPS & DIRECTIONS
    • JOB OPPORTUNITIES
    • UT Austin Home
    • Emergency Information
    • Site Policies
    • Web Accessibility Policy
    • Web Privacy Policy
    • Adobe Reader
    Subscribe to our NewsletterGive to the Libraries

    © The University of Texas at Austin

     

     

    Browse

    Entire RepositoryCommunities & CollectionsDate IssuedAuthorsTitlesSubjectsDepartmentsThis CollectionDate IssuedAuthorsTitlesSubjectsDepartments

    My Account

    Login

    Statistics

    View Usage Statistics

    Information

    About Contact Policies Getting Started Glossary Help FAQs

    University of Texas at Austin Libraries
    • facebook
    • twitter
    • instagram
    • youtube
    • CONTACT US
    • MAPS & DIRECTIONS
    • JOB OPPORTUNITIES
    • UT Austin Home
    • Emergency Information
    • Site Policies
    • Web Accessibility Policy
    • Web Privacy Policy
    • Adobe Reader
    Subscribe to our NewsletterGive to the Libraries

    © The University of Texas at Austin